Shanshan Wang | Machine Learning and Statistics | Best Researcher Award

Best Researcher Award

Shanshan Wang,
University of Jinan

Shanshan Wang

Affiliation University of Jinan
Country China
Citations 1,094
h-index 12
i10 Index 13
Subject Area Computer Science and Technology
Event World Statistics Awards
ORCID 0000-0002-8620-9766

Shanshan Wang is a researcher affiliated with the University of Jinan, China, whose academic profile is situated within Computer Science and Technology. Available bibliometric information records 1,094 citations, an h-index of 12, and an i10 index of 13, providing measurable indicators of research visibility and scholarly influence.[1][2]

Abstract

Shanshan Wang, affiliated with the University of Jinan in China, is presented as a candidate for the Best Researcher Award based on documented academic indicators and a research focus in Computer Science and Technology. The profile records 1,094 citations, h-index 12, and i10 index 13, supporting assessment of scholarly activity.[1][2]

Keywords

  • Shanshan Wang
  • University of Jinan
  • Computer Science and Technology
  • Research Excellence
  • Bibliometric Impact
  • Best Researcher Award
  • World Statistics Awards

Introduction

Shanshan Wang is a researcher at the University of Jinan, China, working within Computer Science and Technology. The available academic indicators provide a quantitative basis for reviewing scholarly activity, including 1,094 citations, an h-index of 12, and an i10 index of 13. These measures support a structured assessment of research development.[1][2]

Research Profile

Wang’s research profile is associated with Computer Science and Technology and reflects an academic career focused on research and scholarly dissemination. Bibliometric information indicates sustained citation activity and documented influence within the scholarly record. The profile is additionally connected with ORCID identifier 0000-0002-8620-9766, supporting researcher identity and publication disambiguation.[1][2]

Research Contributions

Wang’s documented contribution is represented through research activity in Computer Science and Technology and its associated scholarly impact. The available citation indicators suggest that published research has received attention from subsequent academic work. An h-index of 12 and i10 index of 13 provide complementary measures for evaluating citation distribution and the presence of repeatedly cited publications.[1]

Publications

Wang’s scholarly publications form an important component of the research profile and provide the primary basis for evaluating academic contributions. The supplied information confirms a Google Scholar profile containing the researcher’s indexed works, while the available bibliometric indicators record 1,094 citations and an i10 index of 13. Individual DOI details should be verified against source records.[1][3]

Research Impact

Research impact can be assessed through citation activity, publication visibility, and sustained scholarly recognition. Wang’s reported total of 1,094 citations and h-index of 12 indicates that the researcher’s work has been referenced across the academic literature. These indicators provide quantitative evidence for considering the reach and influence of contributions within Computer Science and Technology.[1]

Award Suitability

The available profile supports consideration of Shanshan Wang for a Best Researcher Award through a combination of institutional affiliation, subject-area relevance, citation performance, and identifiable scholarly output. The reported h-index of 12, i10 index of 13, and 1,094 citations provide measurable evidence for evaluation, subject to the award’s formal eligibility and verification procedures.[1][2]

Conclusion

Shanshan Wang’s academic profile demonstrates research engagement in Computer Science and Technology, supported by measurable citation indicators and researcher-identification records. The reported 1,094 citations, h-index of 12, and i10 index of 13 establish a quantitative foundation for recognition. Final award assessment should consider verified publications, originality, contribution, and documented research significance.[1][2]

References

  1. ORCID. (n.d.). ORCID record for Shanshan Wang, ORCID 0000-0002-8620-9766.

    https://orcid.org/0000-0002-8620-9766

  2. Google Scholar. (n.d.). Shanshan Wang — Google Scholar profile and publications.

    https://scholar.google.com/citations?hl=zh-CN&user=GMgHNBUAAAAJ&view_op=list_works&sortby=pubdate

  3. World Statistics Awards. (n.d.). World Statistics Awards.

    https://statisticsaward.com/

Costin Untaroiu | Statistical Modeling and Simulation | Innovative Research Award

 

Innovative Research Award

Costin Untaroiu
Affiliation Virginia Tech
Country United States
Scopus ID 8626670800
Documents 148
Citations 2,601
h-index 28
Subject Area Tire-Soil Simulations
Event World Statistics Awards
ORCID 0000-0002-1813-669X

Costin Untaroiu,
Virginia Tech.

Costin Untaroiu is a professor at Virginia Tech whose research integrates biomechanics, solid mechanics, dynamics, and tire–soil modeling. His work applies computational and experimental methods to transportation safety, injury biomechanics, and terrain interaction, providing interdisciplinary approaches for understanding complex mechanical systems and improving simulation-based engineering analysis, design, and practice today. [1]

Abstract

Costin Untaroiu’s research combines computational mechanics, biomechanics, transportation safety, and tire–soil simulation. His work includes numerical modeling, experimental validation, finite-element analysis, and soil characterization. The research portfolio demonstrates interdisciplinary engagement with technically complex engineering problems and provides a scholarly basis for consideration for an Innovative Research Award. [1] [2]

Keywords

  • Costin Untaroiu
  • Innovative Research Award
  • Tire–Soil Simulation
  • Computational Mechanics
  • Biomechanics
  • Finite-Element Modeling
  • Transportation Safety
  • Virginia Tech

Introduction

Costin Untaroiu is a Virginia Tech professor whose research integrates biomechanics, solid mechanics, dynamics, and tire–soil modeling. His work applies computational and experimental methods to transportation safety, injury biomechanics, and terrain interaction, providing interdisciplinary approaches for understanding complex mechanical systems and improving simulation-based engineering analysis, design, and practice today. [1]

Research Profile

Untaroiu’s research profile spans biomechanics, tissue engineering, dynamics and control, solid mechanics, and tire–soil modelling. At Virginia Tech, he is associated with the Center for Injury Biomechanics and contributes to research involving finite-element analysis, numerical simulation, and engineering optimization across transportation, mechanical-system applications, and interdisciplinary research today globally. [1]

Research Contributions

His contributions include numerical modeling of tire–soil interaction, soil constitutive parameter identification, pedestrian injury analysis, and finite-element representations of human body structures. Recent work addresses soil compaction and tire loading through laboratory testing and validated numerical approaches, demonstrating a research program that connects computational mechanics with engineering problems today across applications. [2] [3]

Publications

Untaroiu has contributed to a substantial body of peer-reviewed research across biomechanics, transportation safety, and terramechanics. Representative publications address soil constitutive modeling, tire–soil interaction, pedestrian finite-element modeling, and material characterization. These studies demonstrate methodological breadth and continued engagement with simulation, validation, experimental measurement, and engineering applications internationally in peer-reviewed literature. [1] [3] [4]

Research Impact

The research has relevance to transportation safety, vehicle and tire engineering, agricultural machinery, and computational biomechanics. Studies combining experimental measurements with numerical models can support improved prediction, validation, and design decisions. His publication record and indexed research activity indicate sustained scholarly engagement across interdisciplinary engineering domains at Virginia Tech and beyond. [1] [2] [3]

Award Suitability

The Innovative Research Award recognizes researchers whose work demonstrates methodological originality, interdisciplinary value, and meaningful engineering relevance. Untaroiu’s documented research in tire–soil modeling, biomechanics, numerical simulation, and validation aligns with these dimensions. His record of peer-reviewed publications and research leadership provides a substantive basis for consideration under an innovation-focused academic recognition framework. [1] [2] [3]

Conclusion

Costin Untaroiu represents an interdisciplinary research profile connecting computational mechanics, biomechanics, transportation safety, and tire–soil simulation. His work combines modeling, experimentation, and validation to address technically complex problems. The documented research portfolio provides a strong scholarly foundation for recognition through an Innovative Research Award within an engineering-focused academic context overall. [1] [3] [4]

References

  1. Virginia Tech. (n.d.). Costin Untaroiu — Biomedical Engineering and Mechanics. Virginia Tech.

    https://bme.vt.edu/people/faculty/untaroiu-c.html

  2. Shokanbi, A., Jasoliya, D., & Untaroiu, C. (2025). Parameter Identification of Soil Material Model for Soil Compaction Under Tire Loading: Laboratory vs. In-Situ Cone Penetrometer Test Data. Agriculture, 15(20), 2142.

    https://doi.org/10.3390/agriculture15202142

  3. Untaroiu, C. D. (2013). The Influence of the Specimen Shape and Loading Conditions on the Parameter Identification of a Viscoelastic Brain Model. Computational and Mathematical Methods in Medicine, 2013, 460413.

    https://doi.org/10.1155/2013/460413

  4. Untaroiu, C. D., Pak, W., Meng, Y., Schap, J., Koya, B., & Gayzik, F. (2018). A Finite Element Model of a Midsize Male for Simulating Pedestrian Accidents. Journal of Biomechanical Engineering, 140(1).

    https://doi.org/10.1115/1.4037854

  5. Elsevier. (n.d.). Scopus author details: Costin Untaroiu, Author ID 8626670800. Scopus.

    https://www.scopus.com/pages/authors/86266